most citedDiscriminating between two models based on Bregman divergence in small samples

1 citations · 1 across the 1 of their papers we have counts for

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5 papers

stat.ME2018

Strongly Consistent of Kullback-Leibler Divergence Estimator and Tests for Model Selection Based on a Bias Reduced Kernel Density Estimator

Papa Ngom, Freedath Djibril Moussa, Jean de Dieu Nkurunziza

In this paper, we study the strong consistency of a bias reduced kernel density estimator and derive a strongly con- sistent Kullback-Leibler divergence (KLD) estimator. As applica…

stat.ME2018

Relationship between the Bregman divergence and beta-divergence and their Applications

Macoumba Ndourand Mactar Ndaw, Papa Ngom

The Bregman divergence have been the subject of several studies. We do not go to do an exhaustive study of its subclasses, but propose a proof that shows that the \b{eta}-divergenc…

stat.ME2018

The Alpha-Beta-Symetric Divergence and their Positive Definite Kernel

Mactar Ndaw, Macoumba Ndour, Papa Ngom

In this article we study the field of Hilbertian metrics and positive definit (pd) kernels on probability measures, they have a real interest in kernel methods. Firstly we will mak…

stat.CO2018

Variable selection via Group LASSO Approach : Application to the Cox Regression and frailty model

Jean Claude Utazirubanda, Tomas Leon, Papa Ngom

In the analysis of survival outcome supplemented with both clinical information and high-dimensional gene expression data, use of the traditional Cox proportional hazards model (19…

stat.ME20171 cited

Discriminating between two models based on Bregman divergence in small samples

Papa Ngom, Jean de Dieu Nkurunziza, Carlos Simplice Ogouyandjou

Recently in [1, 2], Ali-Akbar Bromideh introduced the Kullback-Leibler Divergence (KLD) test statistic in discrim- inating between two models. It was found that the Ratio Minimized…